Research Article
The Face Recognition Method Based on CS-LBP and DBN
input: image matrix A; image sample number p; block number n | compute (row/n, col/n) | for all image sample q do | for all sub-block k do | compute s (size()); compute (for t, ) | end for | X=[,,,…, ] | end for | V=[,,,…, ] | DBN | input: sample CS-LBP vector V; hidden unit numbers m | for all visible units j do | sample | end for | for all hidden units i do | compute Q ()(for binomial units, sigm()) | sample | end for | for all visible units j do | compute Q ()(for binomial units, sigm()) | sample | end for | for all hidden units i do | compute Q ()(for binomial units, sigm()) | sample | end for | | | |
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